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Discover 438 open source projects
Showing 341-360 of 438 projects
advboxes/AdvBox
A toolbox to generate adversarial examples that fool neural networks in various ML frameworks.
zama-ai/concrete-ml
A Python library for privacy-preserving machine learning using Fully Homomorphic Encryption.
oracle/tribuo
Tribuo is a Java machine learning library for classification, clustering, regression, and NLP tasks.
apple/ml-aim
This repository provides code and models for large-scale computer vision research projects using AI tools.
XUANTIE-RV/openc910
OpenXuantie - OpenC910 Core is a Verilog-based hardware design for the RISC-V C910 core, targeted at AI and ML workloads.
shsarv/Machine-Learning-Projects
A collection of machine learning projects for developers to learn and apply various ML techniques.
NifTK/NiftyNet
An open-source platform for medical image analysis and image-guided therapy research using deep learning.
takuya-takeuchi/FaceRecognitionDotNet
A simple facial recognition API for .NET that works on Windows, macOS, and Linux with support for various ML tasks.
ericjang/tdb
Interactive, node-by-node debugging and visualization for TensorFlow, a popular ML framework.
ebhy/budgetml
Deploy a lightweight ML inference service with a budget-friendly setup in just a few lines of code.
SE-ML/awesome-seml
A curated list of articles that cover software engineering best practices for building machine learning applications.
Hello-SimpleAI/chatgpt-comparison-detection
A Python library for detecting and analyzing comparisons to ChatGPT in text, with a corpus of human-written comparisons.
sintel-dev/Orion
A Python library for unsupervised time series anomaly detection, useful for data science and ML applications.
Lionelsy/Conference-Accepted-Paper-List
A curated list of accepted papers from various AI, ML, and robotics conferences.
dmotz/thing-translator
A camera-based translator that uses AI to recognize objects and translate their names into different languages.
HugoTini/DeepBump
A Python library for generating normal and height maps from single pictures, useful for vibe coders working with 3D graphics and AI tools.
hurshd0/must-read-papers-for-ml
A curated collection of must-read papers for Data Science, Machine Learning, and Deep Learning enthusiasts
themanojdesai/genai-llm-ml-case-studies
A curated collection of real-world ML & LLM system design case studies from 100+ companies, helping developers learn how top tech firms implement GenAI.
google/visualblocks
Visual Blocks for ML is a no-code graph editor for creating ML pipelines using drag-and-drop components.
altic-dev/FluidVoice
macOS offline speech-to-text app using local MLโno cloud, fully private voice dictation
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